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This research paper focuses on historical, arithmetic equity market risk premium in emerging and frontier markets. Equity market risk premium, as we know it today, has been easily estimated in developed markets; whereas, emerging and frontier markets often require different approaches to determine an appropriate equity market risk premium. I make use of a variety of methods, including volatility a

I denna framställning behandlas fyra huvudsakliga frågeställningar beträffande den avtalsrättsliga lojalitetsplikten som försäkringsbolag har att beakta i företagsförsäkringsavtal. Beträffande den fösta frågeställningen, vad lojalitetsplikten i dessa avtal grundas på, kan följande konstateras. Plikten innebär att parterna med omsorg har att iaktta och tillvarata motpartens intressen i avtalsförhThis presentation deals with four main issues concerning the contractual duty of loyalty which insurance companies have to consider in business insurance agreements. Regarding the first question at issue - what the duty of loyalty in these agreements is based on - the following can be stated. The duty implies that the parties with care observe and exploit the counterparty’s interests in the cont

Begreppet adaptation to the adverse effects of climate change är relativt nytt in internationell miljörätt. Begreppet adaptation är inte definierat i UNFCCC. Den här uppsatsen analyserar adaptation i ljuset av begreppet reparation i internationell sedvanerätt. Uppsatsen undersöker vad begreppen adaptation och reparation har gemensamt. Kan adaptation i UNFCCC ses som en möjlig utveckling eller förlThe concept of adaptation to the adverse effects of climate change is relatively recent in international environmental law. Adaptation is not defined in the UNFCCC. This paper attempts to address adaptation in the UNFCCC from the perspective of reparation under customary international law. It investigates what the concepts of adaptation and reparation have in common. Could adaptation in the UNFCCC

In today’s financial markets, the estimation of implied volatility of options plays an important part. Through the options prices, the implied volatility shows the size of market movement that is anticipated by the market’s participants. It is used as a benchmark for pricing all kind of assets and an erroneous number can be very costly. There are several methods for estimating and establishing pat

Uppsatsen är en studie med huvudsyfte att undersöka vilken betydelse domstolen fäster vid våld inom familjen vid bedömning av umgänge och vårdnad. Den försöker även finna svar på om och i så fall i vilken utsträckning det görs skillnad mellan fäder och mödrar som förövare. Gällande rätt och dess utveckling redovisas inom områdena vårdnad, umgänge samt riskbedömning. Dessutom presenteras relevanta The essay is a study with a main aim of investigating to what extent the court attaches importance to family violence in their assessment of right of access to children and custody. It also attempts to see to what extent male and female parents as perpetrators are treated differently. Current law and its development in the areas of custody, right of access to children and risk assessment are explo

α-Synuclein (α-syn) is an intrinsically disordered protein with a highly asymmetric charge distribution, whose aggregation is linked to Parkinson’s disease. The effect of ionic strength was investigated at mildly acidic pH (5.5) in the presence of catalytic surfaces in the form of α-syn seeds or anionic lipid vesicles using thioflavin T fluorescence measurements. Similar trends were observed with

The state-of-the-art machine learning techniques come with limited, if at all any, formal correctness guarantees. This has been demonstrated by adversarial examples in the deep learning domain. To address this challenge, here, we propose a scalable robustness verification framework for Deep Neural Networks (DNNs). The framework relies on Linear Programming (LP) engines and builds on decades of adv

Epilepsy is one of the most common neurological disorders that is characterized by recurrent and unpredictable seizures. Wearable systems can be used to detect the onset of a seizure and notify family members and emergency units for rescue. The majority of state-of-the-art studies in the epilepsy domain currently explore modern machine learning techniques, e.g., deep neural networks, to accurately

Since the Rio+20 gathering in 2012, and under the banner of blue growth, heads of state, corporations, investors and environmental NGOs have been debating the oceans’ role in solving everything from world food security, to provisioning of energy and natural resources, to mitigating the impacts of climate change and ensuring improved medical care. For the ocean and its resources to play this role,

Around 50 million people worldwide suffer from Epilepsy, making it one of the most common neurological diseases. Epilepsy is characterized by sudden intermittent seizures, often imposing profound social and physical limitations. More importantly, the risk of premature death in these patients is up to three times that of the corresponding healthy population. It is estimated that 30% of the populati

This paper explores how landscape can be used as a lens to understand lingering as a geographical concept. Following the European Landscape Convention, landscape is defined as “an area, as perceived by people, whose character is the result of the action and interaction of natural and/or human factors”. Thus, landscape assembles practices, perceptions and natural processes in an a-modern manner; th

In this paper, we study the trade-off between complexity and performance in massive MIMO systems with neural-network based digital pre-distortion (NN-DPD) blocks at the base station. In particular, we consider a multi-user massive MIMO system with per-antenna NN-DPDs, each with an adjustable NN architecture in terms of the size and the number of NN hidden layers. We first analyze the system perfor

The semiconductor technology development con- stantly enables integrated circuits (ICs) with more, faster and smaller transistors. While there are many advantages, there are also many and new challenges, for example tighter margins, wear- outs and process variations. To address these challenges, the traditional approach with external test instruments used at man- ufacturing test must be complement

Recent years have seen growing interest in leveraging deep learning models for monitoring epilepsy patients based on electroencephalographic (EEG) signals. However, these approaches often exhibit poor generalization when applied outside of the setting in which training data was collected. Furthermore, manual labeling of EEG signals is a time-consuming process requiring expert analysis,

A prerequisite for the design and evaluation of wireless systems is the understanding of propagation channels. While abundant propagation knowledge exists for bands below 6 GHz, the same is not true for millimeter-wave frequencies. In this paper, we present the design, implementation and measurement-based verification of a re-configurable 27.5-29.5 GHz channel sounder. Based on the switched array

Digital contact tracing substantially improves the identification of high-risk contacts during pandemics. Despite several attempts to encourage people to use digital contact-tracing applications by developing and rolling out decentralized privacy-preserving protocols (broadcasting pseudo-random IDs over Bluetooth Low Energy-BLE), the adoption of digital contact tracing mobile applications has been

Aiming for the sixth generation (6G) wireless communications, distributed massive multiple-input multiple-output (MIMO) systems hold significant potential for spatial multiplexing. In order to evaluate the ability of a distributed massive MIMO system to spatially separate closely spaced users, this paper presents an indoor channel measurement campaign. The measurements are carried out at a carrier